Technology addiction of adolescents in the COVID-19 era: Mediating effect of attitude on awareness and behavior.

Adolescents have been called the "digital natives of the technology age", but determining adolescents' awareness, attitudes and behavior with respect to technology addiction (TA) is important for developing balanced and effective approaches to support their physical and psychological well-being after the COVID-19 pandemic. For this reason, the present study investigates the impact of attitudes on TA behavior in 382 adolescents by gender and extent of technology use. Three scales were used to determine adolescents' TA awareness, attitude, and behavior. The results of the dual-moderated mediation model show that gender and duration of technology use (h) moderated the full mediation of attitude on awareness and behavior in TA (F = 39.29, df = 9;372, p < .01). The indirect effect in males with 16.04 h per day of technology use is stronger (.24) than the indirect effect in males with 4.90 h per day of technology use (.13). In addition, the simple slope plot shows that when attitude scores increase, addictive behavior rises in females (simple slope = .74, t = 8.79, p < .01). On the other hand, with 16.04 h per day of technology use, when attitude scores decrease, addictive behavior rises in females (simple slope = .69, t = 7.59, p < .01). Furthermore, when the attitude scores increase, addictive behavior rises in males (simple slope = .85, t = 13.26, p < .01). As a result, the psychoeducational intervention programs to be implemented for TA should not only focus on awareness, but should also encompass behavioral, cognitive and lifestyle changes.

Classification of Student Leadership Profiles in Diverse Governance Settings: Insights from Pisa 2022.

Student leadership prepares students for responsibilities, such as taking on specific tasks and assuming leadership roles in their future personal and professional lives. Developing students' leadership profiles is among the important goals of educational systems aiming for future generations to take responsibility and advance their countries. With this perspective in mind, the PISA assessment includes items to measure students' leadership behaviors. This study aims to extract student leadership profiles from the leadership-related items in the PISA 2022 application, using data from Cambodia, Peru, Paraguay, and Guatemala, which have different governance systems and cultural characteristics. The second purpose of the research is to determine the distribution of the identified leadership profiles in these countries and explain them in the context of governance and cultural characteristics. Latent class analysis was used to determine student leadership profiles. Accordingly, two-class and three-class latent models were found to be the most suitable models to explain student profiles. While the distinction between student profiles is more pronounced in the two-class model, the three-class model provides more detailed information about student profiles. In this respect, two-class and three-class latent models are reported comparatively. In the two-class latent model, students are labeled as the "Shy or Lack of Self-Confidence Group" and the "Active Leader or Influential Group". In the three-class latent model, students are labeled as the "Moderate or Passive Leader Group", the "Strong Leader or Influential Group", and the "Avoidant or Leadership-Uncomfortable Group". In both models, it is one of the striking findings that Cambodian students are in the low leadership profile, and Peruvian students are in the high leadership profile.

The relationship between teachers' zest for work and teaching motivation: the mediating role of achievement goals.

Objective: This study aims to investigate the mediating role of achievement goals in the relationship between teachers' zest for work and teaching motivation. Method: The research was designed using the relational survey model. The research sample consisted of 518 teachers working in various cities in Turkey in 2023-2024 academic year fall semester. A convenience sampling method was used in sampling. Three Likert-type scales were used as data collection tools. In the data analysis, firstly, the data suitability to normal distributions was examined. As a result of the analysis, kurtosis and skewness values were examined and it was assumed that the data were normally distributed. SPSS Process extension was used to analyze the data. Results and discussion: According to the research results, teachers' zest for work positively and significantly predicted strong and positive achievement goals. In addition, teachers' achievement goals significantly and positively predicted their teaching motivation. Additionally, teachers' zest for work positively and significantly predicted their teaching motivation. Moreover, it can be inferred that achievement goals for students have a mediating role in the relationship between teachers' zest for work and teaching motivation. In this context, it is suggested that policies that increase teachers' teaching motivation should be prioritized.